AI Policy
Generative AI Policy
Generative Artificial Intelligence (AI) tools, including large language models (LLMs) and multimodal models, are rapidly evolving and finding applications across business, consumer, and academic sectors.
The Publivana Journal of Community Service and Innovation (PJCSI) acknowledges the potential opportunities presented by Generative AI tools. These include facilitating initial idea generation and exploration, assisting authors in articulating content in a non-native language, and accelerating the research and dissemination process.
However, the Journal also recognizes the significant risks inherent in current Generative AI technologies. This policy guides authors, editors, and reviewers to ensure the responsible and ethical use of these tools, upholding the core values of academic integrity, accuracy, and originality essential to social and scientific education.
Primary Risks of Generative AI Tools
Generative AI tools (such as ChatGPT, Copilot, Gemini, Claude, DALL-E, Midjourney, etc.) can produce diverse content forms, including text, images, audio, and synthetic data. Their use in a scholarly context must be governed by stringent ethical standards due to several primary risks:
- Inaccuracy and Bias: As statistically driven systems, Generative AI tools can introduce inaccuracies, falsities ("hallucinations"), or biases that are difficult to detect, verify, and correct, posing a particular threat to scientific and educational rigor.
- Lack of Attribution: These tools often fail to adhere to the scholarly convention of accurately attributing ideas, quotes, and citations, potentially leading to plagiarism and misrepresentation of intellectual property.
- Confidentiality and Intellectual Property Risks: Presently, many Generative AI tools operate on third-party platforms that may not provide adequate standards of confidentiality, data security, or copyright protection for unpublished scholarly work.
- Unauthorized Data Use: AI providers may repurpose user-inputted or outputted data for model training, potentially infringing upon the rights of authors and publishers.
This policy will be subject to ongoing review and revision as AI technologies and scholarly ethics guidelines continue to evolve.

